• July 2022: The video of my talk at ICML 2022 on Machine Learning for improving Patient Flow is out now!
  • June 2022: Paper on patient flow management accepted at ICML 2022 in the First Workshop on Healthcare AI and COVID-19. Looking forward to presenting work on patient flow in Baltimore MD in July!
  • May 2022: Summer update from Oxford - Thanks for the warm welcome!
  • April 2022: Started working at the University of Oxford at the Computational Health Informatics lab - Thrilled to be working in the city of dreaming spiers!
  • March 2022: Successfully defended my PhD in Computer Science at the Queen Mary University of London - Pheww!!!
  • January 2022: Extremely delighted to have received a job offer from the University of Oxford as a Postdoctoral Research Associate in Clinical Machine Learning. Excited to be joining Oxford in April!
  • November 2021: My paper titled “A convolutional-attentional neural framework for structure-aware performance-score synchronization” has been accepted at IEEE Signal Processing Letters!
  • September 2021: Our video on the Science Behind Music Technology has been released! It was great collaborating with the MIP-Frontiers team on the making of this video!
  • August 2021: Happy to release a Python notebook tutorial illustrating the application of deep learning for medical report generation from Chest X-rays!
  • July 2021: Video and slides of my talk at IEEE ICASSP 2021 on structure-aware neural alignment are available now.
  • July 2021: Pleased to release a tutorial on Deep Learning for the classification and localization of thoracic disorders from Chest X-ray images. The tutorial in the form of a Python notebook can be found here!
  • June 2021: Presented my paper on structure-aware alignment using progressively dilated convolutional neural networks at IEEE ICASSP 2021!
  • May 2021: Released a Jupyter tutorial on data-driven multi-modal alignment of two time-series using deep learning.
  • March 2021: The video of my EUSIPCO 2020 paper presentation on metric learning for alignment is available now.
  • February 2021: My paper on structure-aware audio-to-score alignment using Dilated CNNs has been accepted at IEEE ICASSP 2021!
  • January 2021: Presented paper on similarity learning for alignment using Siamese networks at EUSIPCO 2020.
  • December 2020: My blog post on score following is now up at the MIP-Frontiers website.
  • November 2020: Attending ISMIR 2020.
  • February 2020: MIP-Frontiers Sandbox event at London. Was fun collaborating with Luis Carvalho from JKU Austria.
  • November 2019: Attended ISMIR 2019 in Delft, The Netherlands. Wonderfully organized!
  • June 2019: Will be presenting my paper at ML4MD, ICML 2019 in California.
  • May 2019: MIP-Frontiers workshop at UPF Barcelona, Spain. Was a great experience!
  • November 2018: Paper presentation at WMT 2018 in Brussels, Belgium.
  • Oct 2018: Arrivederci Trento, hello London! Started working at C4DM, QMUL.
  • Sept 2018: Attending ISMIR 2018 in Paris with the MIP-Frontiers team
  • May 2018: Presented my paper at EAMT 2018 in Alicante, Spain.
  • May 2018: Presented my paper at LREC 2018 in Miyazaki, Japan.
  • Feb 2017: Will be joining the HLT-MT lab at FBK, Italy as a researcher.
  • Dec 2016: Defended Masters Thesis at IIIT Hyderabad.
  • June 2016: Selected to train in Indian Classical Music from Pt. Hariprasad Chaurasia. Excited to spend a few months learning from the maestro!